Job Summary

We are looking for a Mid-Level AI/ML Engineer to design, develop, and deploy machine learning and Generative AI solutions. The role focuses on building LLM-powered applications, RAG pipelines, and AI services while working closely with product, backend, and data teams.

Responsibilities

- AI / ML & Generative AI Develop and implement machine learning and NLP models for real-world applications.
- Build Generative AI applications using LLMs such as OpenAI, Llama, and Mistral.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines.
- Work with embedding models, prompt engineering, and model fine-tuning.
- Apply ML techniques like classification, regression, clustering, and dimensionality reduction.
- Develop LLM workflows using LangChain and LangGraph.
- Work on agent-based and multi-agent systems, including basic A2A communication.
- Experiment with CrewAI and agent orchestration frameworks.
- Backend & API Development Build and maintain AI-backed APIs using FastAPI, Flask, or Django.
- Integrate ML models into applications with scalable REST services.
- Data & Databases Work with data using Python, SQL, PostgreSQL, and ArangoDB.
- Perform data processing and analysis using Pandas and NumPy.




- Use vector databases such as FAISS, Milvus, or Chroma.
- Deployment & MLOps Containerize and deploy AI services using Docker.
- Use Git and Linux for version control and development workflows.
- On-premise deployments and basic model monitoring.
- Security & Access Control Implement RBAC, authentication, and authorization using JWT and SSO.
- Follow data-protection best practices.

Requirements

- Programming: Python, SQL
- ML & AI: Scikit-learn, PyTorch or TensorFlow
- Generative AI: LLMs, RAG pipelines, prompt engineering
- Frameworks: LangChain, LangGraph, HuggingFace
- Backend: FastAPI / Flask / Django
- Databases: PostgreSQL, ArangoDB, Vector DBs
- Tools: Docker, Git, Linux
- Data & Visualization: Pandas, NumPy, Matplotlib, Power BI
- Education: Bachelor's degree in Computer Science, AI, Data Science, or related field
- 5-8 years of experience in AI/ML or Data Science roles

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Lead Engineer - AI/ML (Bengaluru)
🏢 Esyasoft
📍 Bengaluru